memory-mcp CLAUDE.md

memory-mcp CLAUDE.md is an instructions file for coding agents from michael-denyer/memory-mcp. It costs 1,595 tokens per session, scanned A, original, MIT.

Repository guidance for Memory MCP, a memory service that lets AI agents retain useful information between sessions. It describes short-term active memory, longer-term stored memory, related-memory lookup, and rules for promoting or removing memories.

In plain words
What is it for?
Use it when modifying memory storage, session context, memory search, relationships between memories, promotion rules, or the MCP interface.
Why use it?
It tells the coding agent how this project’s memory system is meant to work, so changes do not conflict with its storage and recall rules.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/michael-denyer/memory-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/michael-denyer/memory-mcp

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for memory-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/michael-denyer/memory-mcp/claude-md.svg)](https://agentmods.dev/instructions/michael-denyer/memory-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/michael-denyer/memory-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/michael-denyer/memory-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,595 This file is loaded in full into every session.
When invoked 1,595 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01595 $0.01595
Opus 5 $0.00797 $0.00797
Sonnet 5 $0.00319 $0.00319
Haiku 4.5 $0.00160 $0.00160

Measured 5d ago against content hash 377c5b8d81ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory MCP - Project Instructions

Core Value Proposition

The Engram Insight: Frequently-used patterns should be instantly available, not searched for.

This project differentiates from generic memory servers (like mcp-memory-service) through:

  1. Two-Tier Memory Architecture

    • Hot Cache: Session-aware context injected at 0ms (no tool call needed)
    • Cold Storage: Semantic search for everything else
  2. Salience-Based Promotion

    • Unified salience score: importance + trust + access count + recency
    • Auto-promote when salience ≥ 0.5 AND access count ≥ 3
    • Auto-demote after 14 days without access
    • Pin important memories to prevent auto-eviction
  3. Hot Cache Resource

    • memory://hot-cache: Session-aware active context (~10 items)
    • Combines: recently recalled, predicted next, top promoted items
    • Backed by promoted memories (~20 items)
  4. Multi-Hop Recall

    • expand_relations=true traverses knowledge graph
    • Finds associated memories via typed relationships
    • Score decay prevents dilution of results
  5. Episodic Memory

    • Session-bound short-term context (7-day retention)
    • end_session() promotes top memories to long-term storage
    • Consolidates session context automatically
  6. Pattern Mining from Usage

    • Extracts imports, commands, project facts from Claude's outputs
    • Frequency-based promotion candidates
    • Human approval before promotion (auto-approve for high-confidence)
  7. Knowledge Graph

    • Link related memories with typed relationships
    • Relation types: relates_to, depends_on, contradicts, supersedes, refines, elaborates
  8. Trust Management

    • Strengthen/weaken memory confidence with contextual reasons
    • Per-memory-type trust decay rates
    • Audit trail for trust changes
  9. Memory Consolidation

    • consolidate CLI merges semantically similar memories
    • Reduces redundancy while preserving information

Architecture

flowchart LR
    subgraph LLM["Claude"]
        REQ((Request))
    end

    subgraph Hot["Hot Tier · 0ms"]
        HC[memory://hot-cache]
        PM[(Promoted memories)]
    end

    subgraph Cold["Cold Tier · ~50ms"]
        VS[(Vector Store)]
        KG[(Knowledge Graph)]
    end

    REQ -->|"auto-injected"| HC
    HC -.->|"draws from"| PM
    REQ -->|"recall()"| VS
    VS <-->|"expand_relations"| KG

Read the full file on GitHub · 176 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 176 lines · 1,595 tokens per session scan A 377c5b8d81ba

Subscribe to this mod's changes

memory-mcp CLAUDE.md is an instructions file published in the GitHub repository michael-denyer/memory-mcp (7 stars, last pushed 16d ago), licensed MIT. It adds 1,595 tokens to every session, about $0.0080 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.